Numerical Investigation of Oxygen-Enriched Pulverized Coal Combustion
Bibliographic record
Abstract
This paper presents calculations of oxygen-enriched coal combustion. Enriching combustion air with oxygen is considered one of the most effective methods to improve thermal efficiency, reduce pollutant emissions such as NOx, and facilitate capture of CO2 pollutant from flue gas. In addition to solving transport equations for the continuous phase (gas), a discrete second phase (spherical particles) is simulated in the Lagrangian frame of reference. Reaction is modeled by a two-mixture fractions/PDF approach. Discrete phase modeling is used for the prediction of discrete phase trajectory and heat and mass transfer to and from particles. The coal used is a Canadian high sulfur bituminous coal. The mass fraction of oxygen in the combustion air was varied from 21% (air) to 100% (pure oxygen). The results show that the temperatures of the gas phase and coal particles increase, respectively, by 13% and 9% when the mass fraction of oxygen is increased from 21% to 100%. One important result is that the CO2 in the oxygen/coal exhaust stream is at a much higher concentration (50% higher) compared with the air and coal exhaust stream highly diluted by N2. This will help the capture of CO2 emissions from flue gas and consequently reduce the CO2 capture costs.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".